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Arnav Kundu

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Passionate Machine Learning Engineer specializing in efficient models for speech and multimodal interaction. I thrive on developing cutting-edge models and technologies that enable seamless human-computer interaction. With a strong background in artificial intelligence and deep learning, I have a proven track record of delivering innovative solutions that enhance user experiences and drive business value.

Throughout my career, I have successfully developed and deployed machine learning models for speech recognition and audio-visual analysis. I am skilled in leveraging large datasets and applying advanced algorithms to develop tiny machine models optimized for on-device execution.

I am driven by a curiosity to explore the frontiers of machine learning and stay up-to-date with the latest advancements in the field. Collaborating with cross-functional teams, I enjoy taking complex problems and translating them into efficient and scalable solutions. I am dedicated to continuously refining and optimizing models to achieve the highest levels of accuracy and performance.

Beyond my technical expertise, I am a proactive communicator and a strong collaborator. I thrive in dynamic environments that foster innovation and value diversity of thought. My ability to effectively communicate complex concepts to both technical and non-technical stakeholders has been instrumental in driving successful projects and building strong relationships.

  • AI on the Edge: Industry Tackles Giant Model Compression
    Arnav explains, "Compressing large AI models using quantization, pruning, and weight clustering is key. Techniques like Nvidia's compression of an 8B Llama 3.1 model to 4B without significant accuracy loss are promising. Lightweight AI models are crucial for efficient resource utilization, faster inference, and enhanced privacy on edge devices."
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